2015 keynote address

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Implementation of Large-Scale Technology-Enhanced EFL Programs at the National Level: 11 Key Factors for Success Dr. Danny Glick Director of Pedagogy & Implementation at Edusoft, a subsidiary of ETS International DR-TESOL Conference Keynote Address July 31, 2015

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Implementation of Large-Scale Technology-Enhanced EFL Programs at the

National Level: 11 Key Factors for Success

Dr. Danny GlickDirector of Pedagogy & Implementation at Edusoft,

a subsidiary of ETS

International DR-TESOL Conference Keynote Address

July 31, 2015

Objectives

In this presentation we will explore:

• 11 key factors for effective implementation of large-scale technology-enhanced EFL courses

• The benefits of these key factors for decision makers, teachers and students

• Case studies and success stories from across the globe as examples illustrating how large-scale blended courses can be effectively implemented

Success Stories

Colombia1.5 million students

Mexico50, 000 students

Peru1,000 schools

Mexico3,000 teachers

Chile12,000 students

Panama200,000 students

Kazakhstan800 teachers

Guatemala2,500 students

Honduras750,000 students

Categories Key Factors Fall Into

Positive Learning

Outcomes

SolidImplementation

21st -CenturyPedagogies

Flexible Delivery Options

Assessment and Evaluation

Key Factor #1: Carefully-Planned Rollout

Carefully-Planned Rollout: Benefits

Decision Makers:

• Ensures cost-effectiveness and budget control

• Addresses possible challenges before they even arise

Teachers:

• Has everything up and running before the project gets underway

• Makes sure the program is aligned with the intended learning outcomes

Students:

• Ensures students receive classroom materials and platform access on time

Case Study # 1: University of Chihuahua, Chihuahua, Mexico

50,000 Students

Case Study #1: University of Chihuahua, Chihuahua, Mexico

11700

12990

15400

10000

12000

14000

16000

18000

2013 2014 2015

Logins

Logins

Proper Planning =

Logins increased 32%over 2 years.

Key Factor #2: Symbiotic Relationship Between Technology and Pedagogy

Symbiotic Relationship Between Technology and Pedagogy: Benefits

Decision Makers:

• Maximizes program outcomes

• Accommodates the needs of students from different socio-economic backgrounds

Teachers:

• Fosters a more meaningful learning environment

• Reduces teacher workload

• Frees teachers to spend more 1-on-1 time with struggling learners

Students:

• Provides students with an opportunity to practice the objectives of the previous f2f lesson while preparing for the upcoming lesson

Case Study #2: INACAP, Chile12,000 Students

Case Study #2: INACAP, Chile

Key Factor #3: Key Information Flows Across All Channels

Cascade Model of Implementation

Solution Provider

10 Senior Master Trainers

100 Senior EFL Teachers

1,000 Classroom Teachers

200,000 Students

Key Information Flows Across All Channels: Benefits

Decision Makers:

• Reduces pedagogical, administrative, operational, and technical challenges which may arise

Teachers:

• Eliminates teachers’ sense of isolation often associated with large-scale projects

• Provides timely feedback and support to teachers

Students:

• Provides timely answers even to project-related questions that the teacher may otherwise not be able to answer

Case Study #3: SENA, Colombia1.5 Million Students

Key Factor #4: Flexible Delivery Options

Flexible Delivery Options: Benefits

Decision Makers:

• Allows decision makers to offer a technology-enhanced solutions even in areas with low level of technological readiness

Teachers:

• Enables teachers to close the gap between digital natives and digital immigrants

• Enhances computer literacy

Students:

• Bridges technological, educational, and economic gaps

• Boosts motivation

Case Study #4: MINEDU, Peru1,000 Schools

Key Factor #5: Teacher Training

Teacher Training: Benefits

Decision Makers:

• Enhances teacher commitment

• Maximizes learning outcomes

• Improves the standing of the institution

Teachers:

• Familiarizes teachers with new technologies

• Increases professional confidence

• Increases motivation

Case Study #5: Eurasian National University, Kazakhstan

Case Study #5: Eurasian National University, Kazakhstan

68

81

60

65

70

75

80

85

Pre-TrainingAssessment

Post-TrainingAssessment

ICT Knowledge Test

ICT KnowledgeTest

Training = ICT knowledge improved

by 19%.

Key Factor #6: Implementation Follow-up

Planning

Follow-up

Plan of Action

Resource Allocation

Implementation Follow-up: Benefits

Decision Makers:

• Maximizes program outcomes by identifying and addressing areas of weakness at the early stages

• Enables implementation/technological/HR adjustments when necessary

• Ensures that follow-up is geared to identifying schools which may require a higher level of support

Teachers:

• Improves teaching practices

• Provides constructive feedback together with a detailed plan of action

Students:

• Ensures all students have equal opportunities

Case Study #6: MINEDU, Peru1,000 Schools

Key Factor #7: Professional Development

Helping Teachers Get Tools for Improvement They Want and Deserve

Professional Development: Benefits

Decision Makers:

• Reduces dropout rates

• Maximizes learning outcomes

• Improves the standing of the institution

Teachers:

• Familiarizes teachers with 21st-century teaching methods

• Closes the gap between digital natives and digital immigrants

Students:

• Promotes student-centered learning

Case Study #7: Javier College CALL Methodologies Course

Panama, 8,000 Students

Case Study #7: Javier College CALL Methodologies Course

Key Factor #8: Assessment and Evaluation

Assessment and Evaluation: Benefits

Decision Makers:

• Enables implementation/technological/HR adjustments when necessary throughout the course

Teachers:

• Enables teachers to verify that the course objectives are being met

• Enables teachers to identify struggling students and get them back on track

• Enables teachers to make sure that their teaching methods lead to effective learning outcomes and make adjustments when necessary

Students:

• Enables students to strengthen areas of weakness

• Enables students to reflect on the learning process

Key Factor #9: Macro-level Analysis of Data

Macro-level Analysis of Data: Benefits

Decision Makers:

• Provides bird’s-eye view of project status

• Identifies struggling regions, schools, faculties, and individual teachers

Teachers:

• Provides teachers with support and solutions to arising issues at the early stages

Students:

• Identifies and provides solutions to at-risk students early on

Case Study #9: MINEDU, Peru1,000 Schools

Key Factor #10: Reduced Dropout Rates

Reduced Dropout Rates: Benefits

Decision Makers:

• Maximizes the outcomes of publically-funded projects (ROI)

• Ensures that no child is left behind

• Closes economic gaps

Teachers:

• Maximizes learning outcomes

• Closes educational gaps

Students:

• Closes educational gaps

• Opens doors to a better future

Case Study #10: SENA, Colombia1.5 Million Students

Key Factor #11: Long-term Teacher Retention

Long-term Teacher Retention: Benefits

Decision Makers:

• Ensures cost-effectiveness (ROI)

• Leads to more qualified and capable classroom teachers

• Leads to a greater stability in the system

Teachers:

• Brings more professional stability

• Builds a Community of Practice (CoP) where teachers receive support from each other

• Fosters mentoring of less experienced teachers

Students:

• Instructed by experienced, knowledgeable, and motivated teaches

Case Study #11: NIS (Nazarbayev Intellectual Schools), Kazakhstan

800 Teachers

Categories Key Factors Fall Into

Positive Learning

Outcomes

SolidImplementation

21st -CenturyPedagogies

Flexible Delivery Options

Assessment and Evaluation

Case Study

• INACAP is Chile’s largest institution of higher education

• 27 campuses

• 115,000 students

• 100 technical and professional degree programs

Impact on Learning: The Case Study of INACAP

18

25

37

5459

0

10

20

30

40

50

60

70

March April May June July

Logins

Progress

Key Factors = Logins and Progress

increased 41% over 4

months.

Model Effectiveness

6059

69

61

54

56

58

60

62

64

66

68

70

Blended Group Control Group

Pre-Assessment

Post-Assessment

Pilot Group: Test scores went up 11.5%.

Control Group: Test scores went up 3.4%.

Success Indicators

From

• 96 Active Classes

• 1,669 Students in 2009

• A Single Program (General English)

To

• 285 Active Classes

• 3,351 Students in 2015

• A Dual Program (General English and ESP)

Thank [email protected]

@DannyGlickPhD